A qualitative case study of emotion regulation dynamics within competitive youth sport families
Bibliographic record
Abstract
Youth sport participation can lead to stressful experiences for athletes, and the way such emotions are regulated have profound implications for their experiences and continued participation. As one of the most prominent socialization agents for youth, parents and family members are in a unique position to help regulate their youth athlete's emotions that arise in sport. The purpose of this study was to examine the emotion regulation dynamics within competitive sport family-units. Using an interpretive case study approach, semi-structured interviews were conducted with two family-units, including competitive male youth athletes (n = 2; Mage = 11 years), their parents (n = 4; two males and two females; Mage = 44.5 years), and one male siblings (n = 1; 15 years old) to better understand the developmental implications of familial emotion regulation in youth sport. Following reflexive thematic analysis, two defining themes were generated from each case. In one family, the sport transition of one athlete marked a pivotal change in the family’s identity and the roles each play in emotional experiences. Conversely, parents from the second family-unit discussed effort as a central underlying value for their family’s sport involvement, which led to different regulatory strategies in private and public settings. Theoretically, generated themes provide novel insight in youth sport contexts and align with the tripartite model of family impact on children’s emotion regulation. For applied scholars, the findings highlight the importance of empowering parents with adaptive co-regulation strategies for the continued participation and development of their athletes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".